A5103023746- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Cryospheric studies and observations
- Climate variability and models
- Climate change and permafrost
- Groundwater and Watershed Analysis
- Landslides and related hazards
- Arctic and Antarctic ice dynamics
- Precipitation Measurement and Analysis
- Remote Sensing in Agriculture
- Hydrology and Sediment Transport Processes
- earthquake and tectonic studies
- Meteorological Phenomena and Simulations
- Soil erosion and sediment transport
- Winter Sports Injuries and Performance
- Earthquake Detection and Analysis
- Tropical and Extratropical Cyclones Research
- Hydrological Forecasting Using AI
- Remote Sensing and LiDAR Applications
- Geochemistry and Geologic Mapping
- Geography Education and Pedagogy
- Forest ecology and management
- Urban Heat Island Mitigation
- Seismic Waves and Analysis
North Eastern Space Applications Centre
2022-2025
Government of India
2016-2024
Indian Institute of Remote Sensing
2013-2023
Indian Space Research Organisation
2016-2023
University of Delhi
2023
Abstract Land‐cover/climate changes and their impacts on hydrological processes are of widespread concern a great challenge to researchers policy makers. Kejie Watershed in the Salween River Basin Yunnan, south‐west China, has been reforested extensively during past two decades. In terms climate change, there marked increase temperature. The impact these required investigation: hence, this paper assesses aspects land cover climate. response land‐cover/climate was examined using Soil Water...
The LULC change vis-à-vis climate inherently encompassing human dimensions consequently impact hydrological processes. A slight in it may affect the water yield, as both are explicitly linked through various future availability of resources largely depends upon planning and management land use this changing environment. However, continuous interactions keep on modifying cover (LULC) to fulfil enhanced demand especially due significant increase population development towards better...
With advancements in computational technology, data assimilation techniques, high-resolution remote sensing, and complex climate models, numerous precipitation products are available with different spatiotemporal resolutions; however, their evaluation, especially the Himalayan region, is unexplored. Therefore, this study attempts to assess four sources (gridded observation dataset, reanalysis, satellite, numerical weather prediction models) of through hydrological modelling for catastrophic...
The identification of areas that are susceptible to damage due earthquakes is utmost importance in tectonically active regions like Northeast India. This may provide valuable inputs for seismic hazard analysis; however, it poses significant challenges. present study emphasized the integration Interferometric Synthetic Aperture Radar (InSAR) deformation rates with conventional geological and geophysical data investigate earthquake susceptibility Barapani Shear Zone (BSZ) region We used MintPy...
We studied geomorphic indices related to tectonics along the Borpani River using Cartosat 10 m spatial resolution Digital Elevation Model (DEM) data. A total of 11 such as transverse topographic symmetry factor (Tt), drainage basin asymmetry (AF), valley floor width height ratio (Vf), bifurcation (Rb), hypsometric integral (HI), elongation (Re), shape index (Bs), circularity (Rc), density (Dd), relief (Rh), curves (HC) were access river in selected locations. Five locations for detailed...
This study aimed to identify suitable sites for tea cultivation using both random forest and logistic regression models. The utilized 2770 sample points map the plantation suitability zones (TPSZs), considering 12 important conditioning factors, such as temperature, rainfall, elevation, slope, soil depth, drainability, electrical conductivity, base saturation, texture, pH, normalized difference vegetation index (NDVI), land use cover (LULC). data were ArcGIS 10.2 models calibrated 70% of...
Abstract. Glacier mass balance is typically estimated using a range of in situ measurements, remote sensing and physical temperature index modelling techniques. With improved data collection access to large datasets, data-driven techniques have recently gained prominence natural processes. The most common used today are linear regression models and, some extent, non-linear machine learning such as artificial neural networks. However, the entire host capabilities has not been applied glacier...
The rainfall-runoff is a very complex hydrological phenomenon, as this process highly non-linear, time-varying and spatially distributed. average slope within the watershed together with overall length retardance of overland flow are considered to be main factors which govern runoff process. natural resources conservation service curve number (NRCS-CN), formerly known soil services number, most widely used method estimate direct from rainfall, due its simplicity use single CN parameter....
Detection and monitoring of seasonal agricultural drought at sub-regional scale is a complex theme due to inefficient spatiotemporal indicators. This study presents new time-based function spaceborne soil moisture as an efficient indicator. Bundelkhand Central India, frequently affected region, was used the area. Rabi season (October–May) being dominant return period, chosen period. Coarse resolution (SMc) obtained from European space agency under climate change initiative program spatially...
Abstract. The seasonal snow cover and permanent ice in form of Himalayan glaciers provide fresh water to many perineal rivers Himalayas. melt from glaciers, especially during 15 March June acts as important source for drinking, hydropower irrigation requirements areas North India. This work has highlights the use C-band Synthetic Aperture Radar (SAR) data RISAT-1, Sentinel-1A 1B satellites ALOS-PALSAR-2 PolInSAR glacier dynamics study parts West Himalaya. Glacier velocity was derived using...